Multi-target support vector regression via correlation regressor chains

DOI10.1016/j.ins.2017.06.017zbMath1443.62160OpenAlexW2718193527MaRDI QIDQ778425

Sebastián Ventura, Vojislav Kecman, Gabriella Melki, Alberto Cano

Publication date: 2 July 2020

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2017.06.017

zbMATH Keywords

multi-output regressionmulti-target regressionregressor chainssupport vector regressor

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Estimation in multivariate analysis (62H12) General nonlinear regression (62J02)

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Uses Software

• LIBSVM
• MULAN
• glmnet
• SPMoE

Cites Work

• Bagging predictors
• A pruning method of refining recursive reduced least squares support vector regression
• A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: a case study on the CEC'2005 special session on real parameter optimization
• A Bayesian/information theoretic model of learning to learn via multiple task sampling
• Multi-target regression via input space expansion: treating targets as inputs
• A novel attribute reduction approach for multi-label data based on rough set theory
• Multiple Comparisons Among Means
• Learning Theory and Kernel Machines
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